Dharmendra Prasad Mahato – författare & böcker

Distributed Artificial Intelligence

A Modern Approach

AvSatya Prakash Yadav,Dharmendra Prasad Mahatom. fl.

Inbunden, Engelska, 2020

2 740 kr

Skickas inom 10-15 vardagar

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Distributed Artificial Intelligence

A Modern Approach

AvSatya Prakash Yadav,Dharmendra Prasad Mahatom. fl.

Häftad, Engelska, 2024

939 kr

Skickas inom 10-15 vardagar

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Distributed Artificial Intelligence

A Modern Approach

AvNguyen Thi Dieu Linh,Dharmendra Prasad Mahatom. fl.

E-bok

PDF, Engelska, 2020

1 019 kr

Läs direkt efter köp

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.

Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.

The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Distributed Artificial Intelligence

A Modern Approach

AvNguyen Thi Dieu Linh,Dharmendra Prasad Mahatom. fl.

E-bok

Engelska, 2020

1 056 kr

Läs direkt efter köp

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.

Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning.

The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Amit Bage, Prakash Pareek, Aman Kumar, Dharmendra Prasad Mahato, Rardchawadee Silapunt - Internet of Things and Unmanned Aerial Vehicles-based Applications for High-Yield Precision Agriculture, Inbunden

Internet of Things and Unmanned Aerial Vehicles-based Applications for High-Yield Precision Agriculture

AvAmit Bage,Prakash Pareekm. fl.

Inbunden, Engelska, 2026

1 639 kr

Kommande

The text focuses on the basic algorithms used for hard problems or multi-objective problems in precision agriculture. It comprehensively discusses precision agriculture techniques such as the use of global positioning systems, crop sensors, geographic information systems, remote sensing, and Soil sampling.Features:Presents the Internet of Things-based methods for the detection of diseases and water requirements in precision agriculture.Focuses on the basic algorithms used for hard problems or multi-objective problems in precision agriculture.Covers applications of UAVs and machine learning in precision agriculture water management.Explains geospatial technologies for the management of pests and diseases in crops.Showcases case studies on leveraging the Internet of Things in agriculture for high yields.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, agricultural science and engineering, and information technology.

Federated Learning for IoT Applications

AvSatya Prakash Yadav,Bhoopesh Singh Bhatim. fl.

Inbunden, Engelska, 2022

1 333 kr

Skickas inom 10-15 vardagar

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Federated Learning for IoT Applications

AvSachin Kumar,Dharmendra Prasad Mahatom. fl.

E-bok

Engelska, 2022

1 733 kr

Läs direkt efter köp

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Federated Learning for IoT Applications

AvSatya Prakash Yadav,Bhoopesh Singh Bhatim. fl.

Häftad, Engelska, 2023

1 333 kr

Skickas inom 10-15 vardagar

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

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Dharmendra Prasad Mahato – författare

Distributed Artificial Intelligence

Distributed Artificial Intelligence

Distributed Artificial Intelligence

Distributed Artificial Intelligence

Internet of Things and Unmanned Aerial Vehicles-based Applications for High-Yield Precision Agriculture

Federated Learning for IoT Applications

Federated Learning for IoT Applications

Federated Learning for IoT Applications

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